Neva E. Haites

3.0k citations
62 papers · 1.7k indexed · h-index 26

Impact in

Papers in

    • Cell Adhesion Molecules Research 5
    • BRCA gene mutations in cancer 16
    • Genomic variations and chromosomal abnormalities 4
    • Nutrition, Genetics, and Disease 3

Neva E. Haites

61 papers receiving 1.7k citations

Peers

Neva E. Haites
Comparison fields: 5 of 122
  • Genetics 455
  • Cancer Research 208
  • Nephrology 98
  • Cellular and Molecular Neuroscience 250
  • Oncology 309
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Vardiella Meiner Israel
U. Junker Germany
Wen‐Hann Tan United States
Marc N. Wein United States
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Citations per year

Countries citing papers authored by Neva E. Haites

Since Specialization
Citations

This map shows the geographic impact of Neva E. Haites's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neva E. Haites with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neva E. Haites more than expected).

Fields of papers citing papers by Neva E. Haites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neva E. Haites. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neva E. Haites. The network helps show where Neva E. Haites may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Neva E. Haites, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neva E. Haites Line = papers co-authored together Neva E. Haites links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201029
2 200742
3 20078
4 200654
5 200531
6 20026
7
Dietary intake of folate and related micronutrients, genetic polymorphisms in MTHFR and colorectal cancer A population-based case-control study in Scotland
200212
8 200288
9
Genetic polymorphisms in folate metabolism, dietary folate intake and colorectal cancer: a population-based case-control study
20012
10
Inherited predisposition to uro-genital cancers.
20010
11 20013
12 200178
13 200032
14 199919
15 199928
16 1999171
17 19984
18 199741
19 199415
20 199263

About Neva E. Haites

Neva E. Haites is a scholar working on Immunology and Allergy, Genetics, Cancer Research, Reproductive Medicine and Genetics, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (16 papers), Cell Adhesion Molecules Research (5 papers), Hereditary Neurological Disorders (4 papers), Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Family Support in Illness (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Nutrition, Genetics, and Disease (3 papers). The work is most often cited by research in Genetics (455 citations), Cancer Research (208 citations), Nephrology (98 citations), Cellular and Molecular Neuroscience (250 citations) and Oncology (309 citations). Neva E. Haites has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Eva Nelis, Christine Van Broeckhoven, John G. Simpson, Linda Sharp, Derek J. King, Brenda J. Wilson, Douglas Adamson, Edwin van Teijlingen, Martin McKee and Eric Matthews. Their work appears in journals such as Kidney International, Human Mutation, Familial Cancer, The Journal of Pathology and Disease Markers.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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